A comprehensive scenario of orchid nutrition – a review

Biswas, Siddhartha Sankar; Singh, Dharmendra; De, L. C.; Kalaivanan, N.; Pal, Ram; Janakiram, T.

doi:10.1080/01904167.2021.1871758

Cited by 11 publications

(6 citation statements)

References 30 publications

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“…ŷ(t) is the predicted output, x 1 (t), x 1 (t -1), …, x 1 (t -N x ) are the temperature, x 2 (t), x 2 (t -1), …, x 2 (t -N x ) are the relative humidity, and ŷ(t -1), ŷ(t -2), …, ŷ(t -N y ) are the lagged predicted outputs. N x and N y are the number of lags for the input and output elements [32]. The NARX model is shown in Figure 2.…”

Section: Narx Neural Networkmentioning

confidence: 99%

“…However, past studies have shown that one hidden layer is sufficient to perform function approximation. The number of hidden nodes and lag can be varied, and the performance will depend on the best parameter combination [32]. Figure 3 shows the general structure of ANN with one hidden layer.…”

Section: Narx Neural Networkmentioning

confidence: 99%

“…An increasing validation error indicates that the network has started to overfit. Training is stopped, and the weights and biases are then finalized at the iteration before the network starts to overfit [32].…”

Section: Figure 3 General Structure Of Ann With One Hidden Layermentioning

confidence: 99%

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Modelling the Dynamic Response of Root Diameter Changes in Orchid to Temperature and Humidity using NARX Neural Network

Nordin¹,

Saaid²,

Tahir³

et al. 2022

TEM Journal

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Understanding the dynamic behaviour of plants is vital for realization of precision agriculture systems. This paper proposes a dynamic response model of root diameter to changes in temperature and relative humidity for commercial epiphytic orchids. A Vanda hybrid orchid is used for this study. Root diameter changes, temperature, and relative humidity measurements are logged for fifty-one days. The dynamic response of the root diameter changes is analysed and modelled using non-linear autoregressive with exogenous input neural network. The best performance is obtained with Levenberg-Marquardt algorithm, yielding the best overall regression, lowest mean squared error, and fastest training speed.

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Section: Narx Neural Networkmentioning

confidence: 99%

Section: Narx Neural Networkmentioning

confidence: 99%

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Modelling the Dynamic Response of Root Diameter Changes in Orchid to Temperature and Humidity using NARX Neural Network

Nordin¹,

Saaid²,

Tahir³

et al. 2022

TEM Journal

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“…Mycorrhizal fungi supply plants with water and nutrients, such as carbon (C), nitrogen (N), and phosphorus (P), or produce signal molecules, such as rhizosphere secretions, fungal secretions, and fungal elicitors, to promote plant growth ( Xu and Zhang, 2007 ). Among these, N is an essential nutrient for plant growth and the fourth most abundant element in plants ( Biswas et al, 2021 ). Limited N availability adversely affects plant growth and causes serious effects on crop production.…”

Section: Introductionmentioning

confidence: 99%

The Plant Growth-Promoting Fungus MF23 (Mycena sp.) Increases Production of Dendrobium officinale (Orchidaceae) by Affecting Nitrogen Uptake and NH4+ Assimilation

Shan

Zhou

et al. 2021

Front. Plant Sci.

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Dendrobium officinale Kimura et Migo is a traditional and scarce medicinal orchid in China. Mycorrhizal fungi could supply nitrogen (N) to orchids for seed germination and seedling recruitment. However, the N transport mechanism between orchids and the fungus is poorly understand. Early studies found that the fungus MF23 (Mycena sp.) could promote the growth of D. officinale. To better dissect the molecular interactions involved in N transport between D. officinale and MF23, transcriptome and metabolome analyses were conducted on conventional and mycorrhizal cultivations of D. officinale. Moreover, validation tests were carried out in the greenhouse to measure net fluxes of NO3− and NH4+ of roots by a non-invasive micro-test technology (NMT), determine N assimilation enzyme activity by the ELISA, and analyze the expression level of differentially expressed genes (DEGs) of N transporters and DEGs involved in N metabolism by RT-qPCR. Combined transcriptome and metabolome analyses showed that MF23 may influence N metabolism in D. officinale. The expression of DoNAR2.1 (nitrate transporter-activating protein), DoAMT11 (ammonium transporter), DoATFs (amino acid transporters), DoOPTs (oligopeptide transporters), and DoGDHs (glutamate dehydrogenases) in symbiotic D. officinale was upregulated. NMT results showed a preference for NH4+ in D. officinale and indicated that MF23 could promote the uptake of NO3− andNH4+, especially for NH4+. ELISA results showed that MF23 could increase the activity of glutamine synthetase (GS) and glutamate dehydrogenase. This study suggested that MF23 increases the production of D. officinale by affecting N uptake and NH4+ assimilation capacity.

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“…During the vegetative growth period, a high dose of N relative to P and K is recommended for most orchid plants. Before flowering, P and K application rates need to be increased relative to N, and during flowering the frequency of fertilizer applications should be reduced [9]. In addition, foliar feeding is found to be ideal, and frequent applications of fertilizer in low concentrations is the best way to feed orchids.…”

Section: Introductionmentioning

confidence: 99%

Growth and Flowering Characteristics of Oncidium Gower Ramsey Varieties under Various Fertilizer Management Treatments in Response to Light Intensities

Chang¹,

Lin

Huang

et al. 2021

Agronomy

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Oncidium are grown worldwide and play important economic roles. The objective of this study was to investigate the pseudobulb growth and flowering characteristics of the two Oncidesa Gower Ramsey cultivars, ‘Honey Angel (HA)’ and ‘Golden Star (GS)’, cultivated under 3 kinds of fertilizer treatments in response to 40% light intensity (LI-40) and 30% light intensity (LI-30, as control) photosynthetic photon flux density over a 5-month period. The conventional-fertilizer (CF) treatment, as a control, consisted of a liquid manure solution of N:K = 1:1.12, mixed with 7.8% N, 0.8% P2O5, 0.3% K2O, and 57.3% of organic matter that was foliage-applied to plants twice weekly. The stage-fertilizer (SF) treatment consisted of N:P:K = 1:1:5 foliage-applied to plants in an unsheathing pseudobulb stage until reaching inflorescence, followed by N:P:K = 1:1:1 application until the end of the experiment. The fortnight-fertilizer (FF) treatment consisted of N:P:K = 1:1:5 and N:P:K = 1:1:1 with interval-rotate foliage-application to plants weekly until the end of the experiment. Pseudobulb length (PL), pseudobulb major axis (PW), and pseudobulb minor axis (PT), and inflorescence length (FL), number of pedicel (FB), and floret numbers (FN) per plant were recorded and calculated from two months after pseudobulb maturity until the end of the five-month experimental period. The GS variety significantly increased PL when treated with CF and FF compared to HA, and GS treated with CF under LI-30 exhibited the longest PL at 81.65 mm. PW increased as LI increased under FF treatment, and the largest PW was observed in GS treated with FF under LI-40. A maximal and significant increase in PT occurred in LI-40 compared to LI-30 under the CF treatment. GS had a significantly higher FL compared to HA treated with CF, and the longest FL was detected in GS under LI-30. HA had a significantly higher FB and FN under LI-40 than under LI-30, and the highest number of FB and FN in HA occurred when it was treated with CF and SF, respectively. Precision management of fertilization treatments in response to LI can maximize pseudobulb growth, development, and flowering quality in Oncidesa species.

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A comprehensive scenario of orchid nutrition – a review

Cited by 11 publications

References 30 publications

Modelling the Dynamic Response of Root Diameter Changes in Orchid to Temperature and Humidity using NARX Neural Network

Modelling the Dynamic Response of Root Diameter Changes in Orchid to Temperature and Humidity using NARX Neural Network

The Plant Growth-Promoting Fungus MF23 (Mycena sp.) Increases Production of Dendrobium officinale (Orchidaceae) by Affecting Nitrogen Uptake and NH4+ Assimilation

Growth and Flowering Characteristics of Oncidium Gower Ramsey Varieties under Various Fertilizer Management Treatments in Response to Light Intensities

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